5 citations · 5 across the 5 of their papers we have counts for
5 papers
Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization
Oliwier Melon, Romeo Orsolino, David Surovik +3
To dynamically traverse challenging terrain, legged robots need to continually perceive and reason about upcoming features, adjust the locations and timings of future footfalls and…
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion
Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones +5
Traditional approaches to quadruped control frequently employ simplified, hand-derived models. This significantly reduces the capability of the robot since its effective kinematic…
Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations
Oliwier Melon, Mathieu Geisert, David Surovik +2
Dynamic traversal of uneven terrain is a major objective in the field of legged robotics. The most recent model predictive control approaches for these systems can generate robust…
Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning
David Surovik, Kun Wang, Kostas E. Bekris
The dynamical properties of tensegrity robots give them appealing ruggedness and adaptability, but present major challenges with respect to locomotion control. Due to high-dimensio…
Efficient Model Identification for Tensegrity Locomotion
Shaojun Zhu, David Surovik, Kostas E. Bekris +1
This paper aims to identify in a practical manner unknown physical parameters, such as mechanical models of actuated robot links, which are critical in dynamical robotic tasks. Key…